We suffer from biases that still influence us even after we know they’re there. Over the coming decades, our ability to make the world a better place is going to rise meteorically-along with our ability to make disastrous mistakes.Īnd yet, human intelligence itself remains demonstrably imperfect and largely mysterious. Compare the best and the worst that a single human could accomplish with the resources available in the year 1018 to the best and the worst that a single human could accomplish in 1918, or to the best and the worst that could be accomplished in 2008. Nearly every major problem that humanity will face over the next century-from bioengineered weapons to AI to climate change-will also be the result of human intelligence.Īs our species builds up a greater foundation of knowledge and develops ever-more-powerful tools, the stakes are only going up. Watch “ Open by design, open for data.Nearly every major “victory” that humanity has experienced over the past ten thousand years-from agriculture to the eradication of smallpox-has come from human intelligence.Open source software is a key source of innovation for companies, and the cloud is becoming the medium to enhance the benefits of open source. Watch “ Advanced analytics and the mystery of the missing jeans.”. ![]() Learn how different types of data, from cubes of structured data to live video streams from mobile systems, combine with analytical technology to inform the questions that can be answered. Joseph Sirosh looks at how brains connected with sensors to the cloud and machine learning could revolutionize a field of medicine.Īdvanced analytics and the mystery of the missing jeans Julia Galef outlines the most important principles of thinking like a Bayesian. Watch “ Apache Hadoop meets cybersecurity.”.Learn how organizations are turning toward the open source ecosystem to break down traditional cybersecurity analytics and data constraints. Watch “ Delivering information in context.”.Ian Andrews explores why delivering information in context is the key to competitive differentiation in the digital economy. Watch “ Let’s get real: Acting on data in real time.”.But what does “real time” really mean? Jack Norris discusses the challenges of coordinating data flows, analysis, and integration at scale to shape business as it happens. Let’s get real: Acting on data in real timeĬompanies are differentiating themselves by acting on data in real time. Watch “ Driving the on-demand economy with predictive analytics.”.Watch “ Summoning the demon: My perspective from the belly of the beast of AI.”ĭriving the on-demand economy with predictive analyticsĮric Frenkiel explains how a trinity of real-time technologies-Kafka, Spark, MemSQL-is enabling Uber and others to power their companies with predictive apps and analytics.Jana Eggers has been in and around the field of artificial intelligence for more than 25 years, which gives her a unique perspective on what’s been accomplished in AI and what we’re still missing. Summoning the demon: My perspective from the belly of the beast of AI Watch “ Using commerce data to fuel innovation.”.Department of Commerce explains how commerce data can catalyze progress. Paula Poundstone offers a unique perspective on technology and data science.īruce Andrews from the U.S. Watch “ What’s next for BDAS (the Berkeley Data Analytics Stack)?.”. ![]() Michael Franklin offers an overview of the Berkeley Data Analytics Stack, outlines the current directions it’s taking, and settles once and for all how BDAS should be pronounced. What’s next for BDAS (the Berkeley Data Analytics Stack)?
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